Artificial Intelligence conferences

This scientific session examines evidence for AI in clinical care, including diagnostics, decision support and implementation across medical specialties. The programme combines research presentations, specialty updates, discussions of legal and ethical governance, bias and responsible adoption, and practical workshops on integrating AI into clinical workflows. Named participants include Mark Cohen of Carle Illinois College of Medicine, Christopher Tignanelli of the University of Minnesota and Caroline Chung of MD Anderson Cancer Center. Sessions address surgery, emergency medicine, oncology, cardiology, pathology, neurology and other specialties. The meeting welcomes clinicians, researchers, data scientists, educators and trainees. The programme runs 08:00–18:00 on both 9 and 10 October 2026, in US/Central CDT (America/Chicago, UTC−5). Attend at McCormick Place Convention Center in Chicago or virtually. Registration is USD 375 for general in-person or virtual attendees; students, residents and fellows are free under the published registration terms. Register through the official conference and College registration pages.

This symposium examines how connected research, shared data and lived experience can improve care after brain injury. It spans stroke, traumatic injury, concussion and rehabilitation, linking laboratory work with clinical services and policy. A patient-journey case study examines gaps from emergency retrieval through rehabilitation and long-term community care. Sessions explore data harmonisation, co-design, exercise-related cognition, peer support and translation into practice. Project showcases include AI-supported vocational training, virtual-reality rehabilitation, post-stroke stimulation, concussion assessment and injury biomarkers; a cross-disciplinary pitch competition addresses translation gaps. Named programme contributors include Fatima Nasrallah (QBIC), Daniel Blackmore (Queensland Brain Institute), Robert Cuthbert (UQ RECOVER Injury Research Centre), and Matilde Balbi (Queensland Brain Institute). The organiser’s preliminary programme may change. Thursday 15 October 2026, AEST (Australia/Brisbane): breakfast from 08:00; main symposium 09:00–16:30; networking 16:30–17:30. Venue: TRI Auditorium, Translational Research Institute, 37 Kent Street, Woolloongabba, Queensland. Registration is essential and free, with catering. Virtual access covers only the main symposium and is reserved for delegates outside South East Queensland who cannot travel, including regional Queensland and interstate participants; connection details follow registration. Local delegates should attend in person. The optional 08:15 consumer-council session has limited places and requires separate selection in the form.

SAB 2026 investigates the mechanisms that let natural and artificial agents adapt and survive in uncertain environments. Researchers compare biological behavior with robot experiments, computer simulations and mathematical models to evaluate principles and architectures of adaptive behavior. The programme covers collective intelligence, learning and skill acquisition, artificial perception and manipulation, and physical and social constraints on behavior. A cross-kingdom intelligence symposium includes Paco Calvo, Jens Krause, Vera Meyer and Ute Schmid. The meeting runs 19–22 October 2026 in Berlin, on CEST (Europe/Berlin, UTC+2). Workshops on 19 October at TU Berlin, Marchstraße 23, start at 09:00 following registration at 08:15; afternoon workshops end at 18:30. Topics include internal world models, genetic programming and homeostatic control. Conference sessions on 20–22 October take place at Universität der Künste, Georg-Neumann-Saal, Einsteinufer 43; sessions on 20 and 21 October begin at 09:00. Consult the detailed daily programme for session and venue changes. Public registration through Pretix is open. General admission is EUR 550, or EUR 450 for students with proof of status. Fees include sessions, coffee breaks and one networking dinner; lunches, other dinners and optional social activities are self-funded. No VAT is added.

The 2026 Conference on Empirical Methods in Natural Language Processing, organized by ACL's SIGDAT, held October 24-29, 2026 in Budapest, Hungary, with a main conference plus workshops and tutorials.

AMIA’s 2026 Annual Symposium examines how informatics can help health systems learn from data and improve patient outcomes. Its programme connects clinical informatics, translational bioinformatics and clinical research informatics through peer-reviewed papers, panels, workshops and posters. Topics include ambient AI, clinical decision support, real-world evidence, implementation science and governance, with attention to evaluating clinical data and translating research into individual and population care. Participants include clinicians, researchers, computer scientists, health IT specialists and policymakers. Programme leadership includes Victoria Tiase (University of Utah) and Adela Grando (Arizona State University); James Cimino (University of Alabama at Birmingham) presents an informatics year-in-review keynote. The meeting takes place in person November 7–11, 2026 at Hilton Anatole, 2201 Stemmons Freeway, Dallas, TX 75207. All times are Dallas local time, America/Chicago (CST, UTC−06:00 on these dates). Saturday workshops run 08:30–12:00 and 13:00–16:30. Sunday workshops run 08:00–11:30, followed by the opening plenary at 13:30–15:00. Scientific sessions start at 08:00 on Monday, Tuesday and Wednesday; Wednesday’s closing session is 11:15–12:15. Consult the linked official programme for individual sessions. Public registration is open to members and nonmembers and requires an AMIA account. Full registration includes workshops, with designated affiliate and selected special events excluded. Advance pricing through October 5 is USD 1,595 for nonmembers, USD 1,140 for professional members and USD 685 for student/trainee members; the corresponding standard rates are USD 1,770, USD 1,265 and USD 760. Some affiliate events and roundtables require separate invitations or registration.

This conference connects Latin American researchers using computation to investigate biological questions. Its programme combines invited lectures, contributed research, tutorials and networking across biomedical omics, microbial communities, comparative and population genomics, molecular sequences and structures, systems biology and networks. It brings together biology, computing, mathematics, statistics and medicine, while introducing scientists new to bioinformatics to tools for analysing biological data. Published keynotes examine AI integration of genomic and phenotypic data for antimicrobial resistance, diagnostics and biomarkers; inclusive genomic studies and biobanks addressing Latin American ancestry and health; network models of non-coding RNA and host-pathogen interactions for drug repurposing and precision medicine; and AI that moves from environmental sensing toward ecological explanation and conservation decisions. Keynote schedule, in Peru Time (PET, UTC−05:00): 11 November, 09:00–10:00 José Arturo Molina Mora (University of Costa Rica) and 16:30–17:30 Andrés Moreno-Estrada (Cinvestav); 12 November, 09:00–10:00 Deisy Morselli Gysi (Federal University of Paraná) and 16:30–17:30 Layla Hirsh Martinez (Pontificia Universidad Católica del Perú); 13 November, 11:00–12:00 Tanya Berger-Wolf (Ohio State University). These are the published keynote sessions; consult the organizer for other sessions. Attend in person at the Universidad de Ingeniería y Tecnología auditorium, Jr. Medrano Silva 165, Barranco, Lima, Peru, or virtually through the conference platform. The auditorium seats 320. Public registration accepts members and nonmembers. Current individual fees are USD 105–255 in person or USD 40–90 virtually, depending on career category and membership. Tutorials cost an additional USD 25 for members or USD 35 for nonmembers; the closing party costs USD 20. In-person fees include breaks and lunch. Both formats include virtual-platform and recorded-session access. Oral presenters are normally expected in person; remote presentation requires an approved waiver for qualifying barriers.

SC26 connects researchers and practitioners developing high-performance computing, networking, storage and scientific data analysis. The programme includes research presentations, tutorials and workshops at McCormick Place in Chicago, 15–20 November 2026. Registration is open, with early rates through 14 October. A digital participation option is available through the official registration page.

Primary-care researchers meet in Toronto to examine how evidence, health services and community participation can improve care. More than 600 research sessions combine oral presentations, posters, workshops and forums. The programme connects clinical questions with qualitative and mixed methods, population data, implementation research and practice-based networks. Martin Roland (Murray Edwards College, University of Cambridge) examines how artificial intelligence changes diagnosis, documentation, treatment and coordination while considering continuity, comprehensive care and the continuing human role of family physicians. Andrew Pinto (University of Toronto and St. Michael’s Hospital) explores upstream prevention through shared values, data science, community leadership and collective action on social, economic and environmental determinants. Other sessions address mental health, chronic illness, inequities, prevention and digital health, alongside research capacity and education. Attend in person at The Westin Harbour Castle, Toronto, November 20–24, 2026. All schedule times are Toronto Eastern Time (EST, UTC−05:00). Pre-conference workshops begin November 20 at 08:00; the opening reception is 17:30–18:30. Scientific plenaries include November 21 and 24 at 08:30–09:30; the conference closes November 24 at 12:45. Registration is open to members and non-members; category eligibility applies. Early rates run through October 20: physicians USD 795/1,145 and other primary-care researchers USD 770/1,120 (member/non-member). Reduced trainee and community rates are listed; pre-conference workshops may cost extra and require registration. There are no one-day or spouse/guest registration options. Use the organizer’s public registration page and portal.

Under the theme Aspiration, Action, Anticipation: AI for Science Looking to 2030, this summit asks how AI is already changing scientific practice and how research may develop over the next few years. Researchers will examine scientific reasoning and discovery alongside applications in cancer biology, climate and weather prediction, animal behaviour and cosmology. Talks, discussion and a poster session connect methodological advances with practical scientific problems. Confirmed contributors include Max Welling, Hana Aliee, Boris Bolliet, Cait Newport, Richard Turner, Neil Lawrence, Stephen Roberts and Sadiq Jaffer. The summit takes place on 24 November, 10:00–18:00, at Churchill College, Cambridge; times are Europe/London, GMT (UTC+00:00). The organizer’s event-specific registration form confirms that online participation is available for remote attendees. In-person places are limited and offered first come, first served, with a waiting list once full. Register using the linked Microsoft Form.

The fourth Breaking Topics in AI conference brings researchers from Oxford, UCL, Cambridge and Imperial together to examine recent AI advances and open research challenges. Plenary speakers give overviews of developments in their fields, while paper talks discuss selected recent work from ICML and NeurIPS. The programme combines perspectives from Mark van der Wilk, Maneesh Sahani, Jacob Bamberger, Vignesh Gopakumar and Katarzyna Kobalczyk, creating opportunities to connect new methods with ongoing research across the participating institutions. This free, in-person conference takes place on 25 November in LRT 608 A+B, Level 6 of I-HUB, White City Campus, 84 Wood Lane, London. Doors open at 09:00 and the ticket page schedules the event for 09:30–17:00, within the university’s overall 09:00–17:00 listing. Times are Europe/London, GMT (UTC+00:00). Advance registration is required through the Eventbrite link on the official university page; capacity is limited and the ticket page specifies ages 16 and above.

The Fortieth Annual Conference on Neural Information Processing Systems brings together interdisciplinary machine-learning research through peer-reviewed sessions, invited talks, demonstrations, tutorials, workshops, and an exposition.

The Fortieth Annual Conference on Neural Information Processing Systems, organized by the Neural Information Processing Systems Foundation, with the main meeting in Sydney, Australia (Dec 6-12) and satellite venues in Atlanta, Georgia and Paris, France (Dec 9-13).

The 41st Annual AAAI Conference on Artificial Intelligence at the Palais des Congres de Montreal, featuring technical papers, special tracks, invited speakers, workshops, tutorials, poster sessions, and competitions to promote AI research and scientific exchange.

AISTATS brings together machine learning, artificial intelligence and statistics, with an emphasis on methodological research. The 2027 conference is announced for 3–6 May in Montréal, Canada; the specific venue and registration details remain to be announced. The official schedule lists abstract submissions due 29 September 2026 and full papers due 6 October 2026, both at the end of the day Anywhere on Earth.

EMBO | EMBL Symposium bringing machine-learning and life-science researchers together across sequencing, imaging and structural biology. Topics include foundation models, cross-modality learning, causal explanation, mechanistic interpretability, generative models and AI agents. Onsite workshops and tutorials take place on the first day; the following three days offer hybrid talks and posters. Registration is not yet open; the official page accepts expressions of interest.

The flagship conference of the IEEE Robotics and Automation Society, held May 24-28, 2027 at Coex in Seoul, South Korea, bringing together the world's top researchers and industry leaders to advance the field of robotics.